code: def call(self, inputs, **kwargs):
      branch1 = self.branch1(inputs)
      branch2 = self.branch2(inputs)
      branch3 = self.branch3(inputs)
      branch4 = self.branch4(inputs)
      outputs = layers.concatenate([branch1, branch2, branch3, branch4])
      return outputs
  
file_path: deep-learning-for-image-processing/tensorflow_classification/Test4_goolenet/model.py
imports: from tensorflow.keras import layers, models, Model, Sequential
label_desc: Use image node_id 2 for calling the Inception obj's underlying member method code with example usage: obj.call(inputs) and returns: outputs